Word Count : 557

---

K-Means clustering is an unsupervised machine learning algorithm widely used in Data Science and Big Data analytics to group similar data points into clusters based on their features. It partitions a dataset into K distinct, non-overlapping clusters by minimizing the within-cluster sum of squares (WCSS), which measures the variance within each cluster. The algorithm works iteratively by initializing K centroids, assigning each data point to the nearest centroid using Euclidean distance, recalculating centroids as the mean of assigned points, and repeating the process until convergence. To apply K-Means clustering in R, a sample dataset such as the built-in “iris” dataset can be used. The dataset contains four numerical variables: Sepal.Length, Sepal.Width, Petal.Length, and Petal.Width. Since K-Means works with numeric data, these features are suitable for clustering. The following R code demonstrates the implementation: ```R # Load dataset data(iris) # _________ ______ _________ ______ ___ ______ ___ ___ _________.
_____ ________ ____ ______ ______ ______ ___ ____ ______ __________ _____.
_______ ______ _______ _______ ______ ______ _____ _____ ______ ________ ________ ___.
________ _________ ____ _________ _____ _______ _____ ____ _________ _________ ______ ______.
______ _____ ____ _________ ____ ________.
___ ________ ______ _________ ____ _______ __________ _________ _________ ____ _________ _______.
________ ___ ___ ____ ______ ____.
____ _________ ____ _________ _______ _____ ____ _______ _________ ____ ____.
_______ _______ ______ _______ _________ _____ ____.
_________ _____ _______ _______ ________ ___ _______ _________ ____ __________ ________.
_____ _______ _______ __________ __________.
______ ___ _________ ________ _____ _____ _______ ___.
______ ___ __________ _____ _______ _________ _______.
_________ ___ ______ _________ _______ __________.
________ ___ ___ __________ __________ _____ ____ _________ ______ _________.
___ ________ _______ ____ _________ _______ _______ __________.
________ ________ _______ __________ _______ ________ __________.
_____ __________ _________ _____ ____ ____ ______ _____ ____ __________ ___.
________ __________ ________ ___ _________ __________.
_____ _________ ___ __________ _____ __________ ____ ______ ____ ______.
__________ _________ __________ ____ _________ _____ ____ __________ ____ _______ _______.
________ ______ _____ ______ _______ __________.
_______ ________ ______ ________ _____ ______ ________ _______ _______ __________ _____ ______.
____ ___ ___ ___ ________.
_____ ___ ______ _____ _________ ___ _________ _____.
________ _____ ____ ______ ___ _____ ________ ___ ________ ___ ______.
_______ ____ _____ ________ _______ __________ __________ ________ _______ ______.
_______ ___ __________ ___ ________ _____ __________ _____ __________ _____.
__________ ___ _________ ____ __________ ___ _________ _____ _________.
_____ ______ _________ __________ ________.
_______ ______ _____ ________ _____ ______ __________ ________ ___ _________ ___.
____ __________ ______ ______ ____ _________ __________.
__________ ___ ______ _____ ___ ______ _____ __________ _________ ___ ___ ______.
_____ ____ ____ _________ ________ ______ _________ ________ ______ _________ _______.
______ __________ __________ ______ ________ _____.
________ ______ __________ _________ _______ __________ ______ ________ _______ ____.
_______ _______ ___ ______ _________ __________ _________ __________ _________ ____ _________ __________.
_____ __________ _________ _________ ________ ______ _________ ______.
__________ ___ ________ __________ ___.
_________ ______ _____ _________ _____ ______.
__________ _____ ___ ________ __________ ___ _______.
________ ________ _____ __________ _________ ______ _________ ____ _______ ___.
___ _____ ________ _______ _______ _________ ________ ____ ____.
____ _____ _____ __________ ________ ____ ____ _____ _________ _________ _________ ___.
____ ________ ___ _______ _____ _______ ___.
_____ ________ __________ _____ __________ _________ ________ ___ _________.
_________ _________ _________ ___ ____ _________ _______ _______ ___ _______ __________ _____.
___ _____.
Get Full Answer on WhatsApp